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2017 6th International Conference on Agro-Geoinformatics : 7-10 August 2017, Fairfax, Virginia, USA / / Institute of Electrical and Electronics Engineers
| 2017 6th International Conference on Agro-Geoinformatics : 7-10 August 2017, Fairfax, Virginia, USA / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE, , 2017 |
| Descrizione fisica | 1 online resource (423 pages) : illustrations |
| Disciplina | 338.10285 |
| Soggetto topico |
Agricultural informatics
Agriculture - Geographic information systems |
| ISBN | 1-5386-3884-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996280328703316 |
| Piscataway, New Jersey : , : IEEE, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2017 6th International Conference on Agro-Geoinformatics : 7-10 August 2017, Fairfax, Virginia, USA / / Institute of Electrical and Electronics Engineers
| 2017 6th International Conference on Agro-Geoinformatics : 7-10 August 2017, Fairfax, Virginia, USA / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE, , 2017 |
| Descrizione fisica | 1 online resource (423 pages) : illustrations |
| Disciplina | 338.10285 |
| Soggetto topico |
Agricultural informatics
Agriculture - Geographic information systems |
| ISBN | 1-5386-3884-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910219880203321 |
| Piscataway, New Jersey : , : IEEE, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others]
| Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others] |
| Autore | Choudhury Amitava |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Inc., , 2021 |
| Descrizione fisica | 1 online resource (304 pages) |
| Disciplina | 338.10285 |
| Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser |
| Soggetto topico | Agriculture - Data processing |
| ISBN |
1-119-76921-3
1-119-76923-X 1-119-76922-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface xiii 1 A -- Study on Various -- Machine -- Learning -- Algorithms and -- Their Role in -- Agriculture -- 1Kalpana Rangra -- and Amitava -- Choudhury 1.1 -- Introduction 1 -- 1.2 Conclusions -- 9 2 Smart -- Farming Using -- Machine -- Learning and IoT -- 13Alo Sen, Rahul -- Roy and Satya -- Ranjan Dash 2.1 -- Introduction 14 -- 2.2 Related Work -- 15 2.3 Problem -- Identification 22 -- 2.4 Objective -- Behind the -- Integrated Agro- -- IoT System 23 2.5 -- Proposed -- Prototype of the -- Integrated Agro- -- IoT System 23 2.6 -- Hardware -- Component -- Requirement for -- the Integrated -- Agro-IoT System -- 26 2.7 -- Comparative -- Study Between -- Raspberry Pi vs -- Beaglebone -- Black 30 2.8 -- Conclusions 31 -- 2.9 Future Work -- 32 3 Agricultural -- Informatics vis-a- -- vis Internet of -- Things (IoT): The -- Scenario, -- Applications and -- Academic Aspects-- -- International -- Trend & Indian -- Possibilities -- 35P.K. Paul 3.1 -- Introduction 36 -- 3.2 Objectives 36 -- 3.3 Methods 37 -- 3.4 Agricultural -- Informatics: An -- Account 37 3.5 -- Agricultural -- Informatics & -- Technological -- Components: -- Basics & -- Emergence 40 -- 3.6 IoT: Basics -- and -- Characteristics -- 41 3.7 IoT: The -- Applications & -- Agriculture Areas --43 3.8 -- Agricultural -- Informatics & IoT: -- The Scenario 45 -- 3.9 IoT in -- Agriculture: -- Requirement, -- Issues & -- Challenges 49 -- 3.10 -- Development, -- Economy and -- Growth: -- Agricultural -- Informatics -- Context 50 3.11 -- Academic -- Availability and -- Potentiality of IoT -- in Agricultural -- Informatics: -- International -- Scenario & Indian -- Possibilities 51 -- 3.12 Suggestions -- 60 3.13 -- Conclusion 60 4 -- Application of -- Agricultural -- Drones and IoT -- to Understand Food -- Supply Chain -- During Post -- COVID-19 -- 67Pushan Kumar -- Dutta and -- Susanta Mitra 4.1 -- Introduction 68 -- 4.2 Related Work -- 69 4.3 Smart -- Production With -- the Introduction -- of Drones and IoT -- 72 4.4 -- Agricultural -- Drones 75 4.5 -- IoT Acts as a -- Backbone in -- Addressing -- COVID-19 -- Problems in -- Agriculture 77 -- 4.6 Conclusion -- 81 5 IoT and -- Machine --Learning-Based -- Approaches for -- Real Time -- Environment -- Parameters -- Monitoring in -- Agriculture: An -- Empirical Review -- 89Parijata -- Majumdar and -- Sanjoy Mitra 5.1 -- Introduction 90 -- 5.2 Machine -- Learning (ML)- -- Based IoT -- Solution 90 5.3 -- Motivation of the -- Work 91 5.4 -- Literature Review -- of IoT-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 91 -- 5.5 Literature -- Review of -- Machine -- Learning-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 92 -- 5.6 Challenges -- 112 5.7 -- Conclusion and -- Future Work 113 -- 6 Deep Neural -- Network-Based -- Multi-Class -- Image -- Classification for -- Plant Diseases -- 117Alok Negi, -- Krishan Kumar -- and Prachi Chauhan 6.1 -- Introduction 117 -- 6.2 Related Work -- 119 6.3 -- Proposed Work -- 121 6.4 Results -- and Evaluation -- 124 6.5 -- Conclusion 127 7 -- Deep Residual -- Neural Network -- for Plant Seedling -- Image -- Classification -- 131Prachi -- Chauhan, -- Hardwari Lal -- Mandoria and -- Alok Negi 7.1 -- Introduction 131 -- 7.2 Related Work -- 136 7.3 -- Proposed Work -- 139 7.4 Result -- and Evaluation -- 142 7.5 -- Conclusion 144 8 -- Development of -- IoT-Based Smart -- Security and -- Monitoring -- Devices for -- Agriculture -- 147Himadri Nath -- Saha, Reek Roy, -- Monojit -- Chakraborty and -- Chiranmay Sarkar -- 8.1 Introduction -- 148 8.2 -- Background & -- Related Works -- 150 8.3 -- Proposed Model -- 155 8.4 -- Methodology -- 160 8.5 -- Performance -- Analysis 165 8.6 -- Future Research -- Direction 166 8.7 -- Conclusion 167 9 -- An Integrated -- Application of -- IoT-Based WSN -- in the Field of -- Indian Agriculture -- System Using -- Hybrid -- Optimization -- Technique and -- Machine -- Learning -- 171Avishek -- Banerjee, Arnab -- Mitra and -- Arindam Biswas -- 9.1 Introduction -- 172 9.2 -- Literature Review -- 175 9.3 -- Proposed Hybrid -- Algorithms (GA- -- MWPSO) 177 -- 9.4 Reliability -- Optimization and -- Coverage -- Optimization -- Model 179 9.5 -- Problem -- Description 181 -- 9.6 Numerical -- Examples, -- Results and -- Discussion 182 -- 9.7 Conclusion - 183 10 -- Decryption and -- Design of a -- Multicopter -- Unmanned Aerial -- Vehicle (UAV) for -- Heavy Lift -- Agricultural -- Operations -- 189Raghuvirsinh -- Pravinsinh -- Parmar 10.1 -- Introduction 190 -- 10.2 History of -- Multicopter -- UAVs 192 10.3 -- Basic -- Components of -- Multicopter UAV -- 193 10.4 -- Working and -- Control -- Mechanism of -- Multicopter UAV -- 207 10.5 Design -- Calculations and -- Selection of -- Components 210 -- 10.6 Conclusion -- 218 11 IoT- -- Enabled -- Agricultural -- System -- Application, -- Challenges and -- Security Issues -- 223Himadri Nath -- Saha, Reek Roy, --Monojit --Chakraborty and -- Chiranmay Sarkar -- 11.1 Introduction -- 224 11.2 -- Background & -- Related Works -- 226 11.3 -- Challenges to -- Implement IoT- -- Enabled Systems -- 232 11.4 -- Security Issues -- and Measures -- 240 11.5 Future -- Research -- Direction 243 -- 11.6 Conclusion -- 244 12 Plane -- Region Step -- Farming, Animal -- and Pest Attack -- Control Using -- Internet of -- Things -- 249Sahadev Roy, -- Kaushal -- Mukherjee and -- Arindam Biswas -- 12.1 Introduction -- 250 12.2 -- Proposed Work -- 254 12.3 -- Irrigation -- Methodology -- 257 12.4 Sensor -- Connection -- Using Internet of -- Things 259 12.5 -- Placement of -- Sensor in the -- Field 263 12.6 -- Conclusion 267 -- References 268 -- Index 271. |
| Record Nr. | UNINA-9910642859303321 |
Choudhury Amitava
|
||
| Newark : , : John Wiley & Sons, Inc., , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others]
| Agricultural Informatics : automation using the IoT and machine learning / / Amitava Choudhury [and three others] |
| Autore | Choudhury Amitava |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Inc., , 2021 |
| Descrizione fisica | 1 online resource (304 pages) |
| Disciplina | 338.10285 |
| Collana | Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser |
| Soggetto topico | Agriculture - Data processing |
| ISBN |
1-119-76921-3
1-119-76923-X 1-119-76922-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface xiii 1 A -- Study on Various -- Machine -- Learning -- Algorithms and -- Their Role in -- Agriculture -- 1Kalpana Rangra -- and Amitava -- Choudhury 1.1 -- Introduction 1 -- 1.2 Conclusions -- 9 2 Smart -- Farming Using -- Machine -- Learning and IoT -- 13Alo Sen, Rahul -- Roy and Satya -- Ranjan Dash 2.1 -- Introduction 14 -- 2.2 Related Work -- 15 2.3 Problem -- Identification 22 -- 2.4 Objective -- Behind the -- Integrated Agro- -- IoT System 23 2.5 -- Proposed -- Prototype of the -- Integrated Agro- -- IoT System 23 2.6 -- Hardware -- Component -- Requirement for -- the Integrated -- Agro-IoT System -- 26 2.7 -- Comparative -- Study Between -- Raspberry Pi vs -- Beaglebone -- Black 30 2.8 -- Conclusions 31 -- 2.9 Future Work -- 32 3 Agricultural -- Informatics vis-a- -- vis Internet of -- Things (IoT): The -- Scenario, -- Applications and -- Academic Aspects-- -- International -- Trend & Indian -- Possibilities -- 35P.K. Paul 3.1 -- Introduction 36 -- 3.2 Objectives 36 -- 3.3 Methods 37 -- 3.4 Agricultural -- Informatics: An -- Account 37 3.5 -- Agricultural -- Informatics & -- Technological -- Components: -- Basics & -- Emergence 40 -- 3.6 IoT: Basics -- and -- Characteristics -- 41 3.7 IoT: The -- Applications & -- Agriculture Areas --43 3.8 -- Agricultural -- Informatics & IoT: -- The Scenario 45 -- 3.9 IoT in -- Agriculture: -- Requirement, -- Issues & -- Challenges 49 -- 3.10 -- Development, -- Economy and -- Growth: -- Agricultural -- Informatics -- Context 50 3.11 -- Academic -- Availability and -- Potentiality of IoT -- in Agricultural -- Informatics: -- International -- Scenario & Indian -- Possibilities 51 -- 3.12 Suggestions -- 60 3.13 -- Conclusion 60 4 -- Application of -- Agricultural -- Drones and IoT -- to Understand Food -- Supply Chain -- During Post -- COVID-19 -- 67Pushan Kumar -- Dutta and -- Susanta Mitra 4.1 -- Introduction 68 -- 4.2 Related Work -- 69 4.3 Smart -- Production With -- the Introduction -- of Drones and IoT -- 72 4.4 -- Agricultural -- Drones 75 4.5 -- IoT Acts as a -- Backbone in -- Addressing -- COVID-19 -- Problems in -- Agriculture 77 -- 4.6 Conclusion -- 81 5 IoT and -- Machine --Learning-Based -- Approaches for -- Real Time -- Environment -- Parameters -- Monitoring in -- Agriculture: An -- Empirical Review -- 89Parijata -- Majumdar and -- Sanjoy Mitra 5.1 -- Introduction 90 -- 5.2 Machine -- Learning (ML)- -- Based IoT -- Solution 90 5.3 -- Motivation of the -- Work 91 5.4 -- Literature Review -- of IoT-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 91 -- 5.5 Literature -- Review of -- Machine -- Learning-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 92 -- 5.6 Challenges -- 112 5.7 -- Conclusion and -- Future Work 113 -- 6 Deep Neural -- Network-Based -- Multi-Class -- Image -- Classification for -- Plant Diseases -- 117Alok Negi, -- Krishan Kumar -- and Prachi Chauhan 6.1 -- Introduction 117 -- 6.2 Related Work -- 119 6.3 -- Proposed Work -- 121 6.4 Results -- and Evaluation -- 124 6.5 -- Conclusion 127 7 -- Deep Residual -- Neural Network -- for Plant Seedling -- Image -- Classification -- 131Prachi -- Chauhan, -- Hardwari Lal -- Mandoria and -- Alok Negi 7.1 -- Introduction 131 -- 7.2 Related Work -- 136 7.3 -- Proposed Work -- 139 7.4 Result -- and Evaluation -- 142 7.5 -- Conclusion 144 8 -- Development of -- IoT-Based Smart -- Security and -- Monitoring -- Devices for -- Agriculture -- 147Himadri Nath -- Saha, Reek Roy, -- Monojit -- Chakraborty and -- Chiranmay Sarkar -- 8.1 Introduction -- 148 8.2 -- Background & -- Related Works -- 150 8.3 -- Proposed Model -- 155 8.4 -- Methodology -- 160 8.5 -- Performance -- Analysis 165 8.6 -- Future Research -- Direction 166 8.7 -- Conclusion 167 9 -- An Integrated -- Application of -- IoT-Based WSN -- in the Field of -- Indian Agriculture -- System Using -- Hybrid -- Optimization -- Technique and -- Machine -- Learning -- 171Avishek -- Banerjee, Arnab -- Mitra and -- Arindam Biswas -- 9.1 Introduction -- 172 9.2 -- Literature Review -- 175 9.3 -- Proposed Hybrid -- Algorithms (GA- -- MWPSO) 177 -- 9.4 Reliability -- Optimization and -- Coverage -- Optimization -- Model 179 9.5 -- Problem -- Description 181 -- 9.6 Numerical -- Examples, -- Results and -- Discussion 182 -- 9.7 Conclusion - 183 10 -- Decryption and -- Design of a -- Multicopter -- Unmanned Aerial -- Vehicle (UAV) for -- Heavy Lift -- Agricultural -- Operations -- 189Raghuvirsinh -- Pravinsinh -- Parmar 10.1 -- Introduction 190 -- 10.2 History of -- Multicopter -- UAVs 192 10.3 -- Basic -- Components of -- Multicopter UAV -- 193 10.4 -- Working and -- Control -- Mechanism of -- Multicopter UAV -- 207 10.5 Design -- Calculations and -- Selection of -- Components 210 -- 10.6 Conclusion -- 218 11 IoT- -- Enabled -- Agricultural -- System -- Application, -- Challenges and -- Security Issues -- 223Himadri Nath -- Saha, Reek Roy, --Monojit --Chakraborty and -- Chiranmay Sarkar -- 11.1 Introduction -- 224 11.2 -- Background & -- Related Works -- 226 11.3 -- Challenges to -- Implement IoT- -- Enabled Systems -- 232 11.4 -- Security Issues -- and Measures -- 240 11.5 Future -- Research -- Direction 243 -- 11.6 Conclusion -- 244 12 Plane -- Region Step -- Farming, Animal -- and Pest Attack -- Control Using -- Internet of -- Things -- 249Sahadev Roy, -- Kaushal -- Mukherjee and -- Arindam Biswas -- 12.1 Introduction -- 250 12.2 -- Proposed Work -- 254 12.3 -- Irrigation -- Methodology -- 257 12.4 Sensor -- Connection -- Using Internet of -- Things 259 12.5 -- Placement of -- Sensor in the -- Field 263 12.6 -- Conclusion 267 -- References 268 -- Index 271. |
| Record Nr. | UNINA-9910830653703321 |
|
Choudhury Amitava
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| Newark : , : John Wiley & Sons, Inc., , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Agriculture 5.0 : artificial intelligence, IOT and machine learning / Latief Ahmad, Firasath Nabi
| Agriculture 5.0 : artificial intelligence, IOT and machine learning / Latief Ahmad, Firasath Nabi |
| Autore | Ahmad, Latief |
| Pubbl/distr/stampa | Boca Raton, : CRC Press, , 2021 |
| Descrizione fisica | XII, 224 p. : ill. ; 25 cm |
| Disciplina | 338.10285 |
| Altri autori (Persone) | Nabi, Firasath |
| Soggetto non controllato | Intelligenza artificiale - applicazione in agricoltura |
| ISBN | 9780367646080 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910492852603321 |
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Ahmad, Latief
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| Boca Raton, : CRC Press, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence and Heuristics for Enhanced Food Security / / by Chandrasekar Vuppalapati
| Artificial Intelligence and Heuristics for Enhanced Food Security / / by Chandrasekar Vuppalapati |
| Autore | Vuppalapati Chandrasekar |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (910 pages) |
| Disciplina | 338.10285 |
| Collana | International Series in Operations Research & Management Science |
| Soggetto topico |
Operations research
Food security Artificial intelligence Mathematical optimization Production management Data mining Operations Research and Decision Theory Food Security Artificial Intelligence Optimization Operations Management Data Mining and Knowledge Discovery |
| ISBN |
9783031087431
9783031087424 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Introduction to Artificial Intelligence and Heuristics -- 1. Introduction -- 2. Heuristics -- 3. Data Engineering Techniques for Machine Learning and Heuristics -- Part 2: Food Security Machine Learning and Heuristics Models -- 4. Food Security -- 5. Food Security – Quality and Safety Drivers -- 6. ML Models - Food Security and Climate Change -- Part 3: Linkage Models -- 7. Food Security and Advanced Imaging Radiometer ML Models -- 8. Composite Models - Food Security and Natural Resources -- 9. Linkage Models: Economic Key Drivers and Agricultural Production -- 10. Heuristics and Agricultural Production Modeling- Part IV: Conclusion -- 11. Future. |
| Record Nr. | UNINA-9910595049503321 |
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Vuppalapati Chandrasekar
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Techniques in Smart Agriculture / / edited by Siddharth Singh Chouhan, Akash Saxena, Uday Pratap Singh, Sanjeev Jain
| Artificial Intelligence Techniques in Smart Agriculture / / edited by Siddharth Singh Chouhan, Akash Saxena, Uday Pratap Singh, Sanjeev Jain |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XXII, 287 p. 93 illus., 86 illus. in color.) |
| Disciplina | 338.10285 |
| Soggetto topico |
Agriculture
Agricultural biotechnology Artificial intelligence Image processing - Digital techniques Computer vision Agricultural Biotechnology Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN |
9789819758784
9819758785 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Assessing the importance and need of Artificial Intelligence for Precision Agriculture -- Chapter 2. Challenges in Achieving Artificial Intelligence in Agriculture -- Chapter 3. Introduction to Artificial Intelligence techniques in Agricultural applications and their future aspects -- Chapter 4. Agricultural Artificial Intelligence: Obstacles and Opportunities -- Chapter 5. Smart Farming Management System: Pre and Post Production Interventions -- Chapter 6. Introduction to various intelligent devices and implementation platforms -- Chapter 7. Fruit Counting and Analysis Using Artificial Intelligence Approaches -- Chapter 8. Deep Learning-Based Plant Stress Diagnosis: An Optimized Generative Augmentation Model Approach -- Chapter 9. Transformative Impact of AI-Driven Computer Vision in Agriculture -- Chapter 10. An in-depth analysis of artificial intelligence-based crop pest management and water supply regulation -- Chapter 11. AI for Data-Driven Decision Making in Smart Agriculture: From Field to Farm Management -- Chapter 12. AI based Regulation of Water supply and Pest Management in Farming -- Chapter 13. Advancement and Challenges of Implementing Artificial Intelligence of Things in Precision Agriculture -- Chapter 14. Enabling Digital Platforms: Towards Smart Agriculture -- Chapter 15. IoT and Drone-Based Field Monitoring and Surveillance System -- Chapter 16. IoT based Real Time Farm Management System for Smart Agriculture. |
| Record Nr. | UNINA-9910897981703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer vision and machine learning in agriculture . Volume 2 / / Mohammad Shorif Uddin and Jagdish Chand Bansal
| Computer vision and machine learning in agriculture . Volume 2 / / Mohammad Shorif Uddin and Jagdish Chand Bansal |
| Autore | Uddin Mohammad Shorif |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (269 pages) |
| Disciplina | 338.10285 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Artificial intelligence - Agricultural applications
Machine learning - Development |
| ISBN |
981-16-9991-7
981-16-9990-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743346603321 |
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Uddin Mohammad Shorif
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer Vision in Smart Agriculture and Crop Management
| Computer Vision in Smart Agriculture and Crop Management |
| Autore | Dhanaraj Rajesh Kumar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (402 pages) |
| Disciplina | 338.10285 |
| Altri autori (Persone) |
BalusamyBalamurugan
SamuelPrithi SathyamoorthyMalathy BashirAli Kashif |
| Soggetto topico |
Precision farming
Sustainable agriculture |
| ISBN |
9781394186662
1394186665 9781394186686 1394186681 9781394186679 1394186673 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Computer Vision-Based Innovations for Smart Agriculture and Crop Surveillance: Evolution, Trends, and Future Challenges -- 1.1 Introduction -- 1.2 Artificial Intelligence in Agriculture -- 1.3 Evolution of Smart Agriculture -- 1.4 AI Technology Trends in Computer Vision -- 1.5 Benefits of Artificial Intelligence in Agriculture -- 1.5.1 Improving the Whole Supply Chain -- 1.5.2 Agricultural Robotics -- 1.5.3 Policy, Governance and Market Access -- 1.5.4 Early Warning System -- 1.5.5 Food Safety and Traceability -- 1.5.6 Financial Inclusion and Risk Management -- 1.5.7 Capacity Building and Empowerment -- 1.5.8 Growth Driven by IoT -- 1.5.9 Image-Dependent Insight Generation -- 1.5.10 Identification of Optimal Mix for Agronomic Products -- 1.5.11 Monitoring of Crops and Soil Health -- 1.5.12 Automation Techniques in Irrigation and Enabling Farmers -- 1.5.13 Drones: The New Buzz in AI-Driven Agriculture -- 1.6 Precision Farming -- 1.7 Future Challenges -- 1.8 Conclusion -- References -- Chapter 2 Cyber Biosecurity Solutions for Protecting Smart Agriculture and Precision Farming |
| Record Nr. | UNINA-9911019976603321 |
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Dhanaraj Rajesh Kumar
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data science in agriculture and natural resource management / / G.P. Obi Reddy [and three others] editors
| Data science in agriculture and natural resource management / / G.P. Obi Reddy [and three others] editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (326 pages) |
| Disciplina | 338.10285 |
| Collana | Studies in Big Data |
| Soggetto topico |
Agriculture - Data processing
Natural resources - Management - Data processing |
| ISBN |
981-16-5847-1
981-16-5846-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743385403321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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